Characterisation of Anomalous Behaviour for Security in Deep-Edge Wireless Systems: Applied Machine Learning From On-Device Jamming Detection to Collaborative Intelligence. (Caractérisation des Comportements Anormaux pour la Sécurité dans les Systèmes Sans-Fil Deep-Edge / Caractérisation des Comportements Anormaux pour la Sécurité dans les Systèmes Sans-Fil Deep-Edge: Apprentissage Automatique Appliqué : de la Détection desInterférences à l'Intelligence Collaborative).

Related documents

• LTPNet Integration of Deep Learning and Environmental Decision Support Systems for Renewable Energy Demand Forecasting: Deep Learning for Renewable Energy Demand Prediction.#489716
• DeepCBD: Hybrid deep learning fusion models for differential diagnosis of corticobasal degeneration in atypical versus typical parkinsonism.#489717
• A survey on deep learning and machine learning techniques over histopathology image based Osteosarcoma Detection.#489718
• Urban traffic signal control optimization through Deep Q Learning and double Deep Q Learning: a novel approach for efficient traffic management.#489719
• A comparative analysis of deep learning and deep transfer learning approaches for identification of rice varieties.#489720